Melissa Works

1.4k citations
22 papers · 643 · h-index 13

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments

Papers in

    • Immune cells in cancer 4
    • Biosimilars and Bioanalytical Methods 4
    • CAR-T cell therapy research 7

Melissa Works

22 papers receiving 633 citations

Peers

Melissa Works
Comparison fields: 5 of 79
  • Oncology 284
  • Hematology 82
  • Developmental Neuroscience 27
  • Immunology 136
  • Molecular Biology 317
Replace Olga Golonzhka with:
Olga Golonzhka United States
Jessica J. Hawes United States
Alison Gillespie United States
Dheeraj Pelluru United States
Michael Reiser Germany
Woo‐Joo Song South Korea
Maureen A. Connolly United States
Leise A. Berven Australia
Bojan Drobic Canada
Jernej Murn United States
Melissa Works relative to Olga Golonzhka United States Olga Golonzhka's profile →
Citations per field
00.5×4.5×
Olga Golonzhka · 1×
Citations per year

Countries citing papers authored by Melissa Works

Since Specialization
Citations

This map shows the geographic impact of Melissa Works's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Melissa Works with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Works more than expected).

Fields of papers citing papers by Melissa Works

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Works. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Melissa Works. The network helps show where Melissa Works may publish in the future.

Co-authors

The 25 scholars most cited alongside Melissa Works, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Melissa Works Line = papers co-authored together Melissa Works links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008101
2 2018101
3 201483
4 201973
5 201951
6 201144
7 201430
8 201323
9 201922
10 201322
11 201420
12 201019
13 202015
14 201610
15 20148
16 20155
17 20144
18 20154
19 20163
20 20172

About Melissa Works

Melissa Works is a scholar working on Immunology, Oncology, Molecular Biology, Biotechnology and Hematology, having authored 22 papers that have together received 643 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Cancer Research and Treatments (5 papers), Immune cells in cancer (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Multiple Myeloma Research and Treatments (3 papers), Phosphodiesterase function and regulation (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Oncology (284 citations), Hematology (82 citations), Developmental Neuroscience (27 citations), Immunology (136 citations) and Molecular Biology (317 citations). Melissa Works has collaborated with scholars based in United States, South Africa and Netherlands. Frequent co-authors include Kris Rutten, Dinah Misner, Arjan Blokland, Tanya L. Wallace, Thomas J. Novak, Luca Santarelli, Blythe Sather, Brent L. Wood, Margot J. Pont and Damian J. Green. Their work appears in journals such as Blood, PLoS ONE, Cancer Research, Molecular and Cellular Neuroscience and Molecular Cancer Therapeutics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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